New Advances of Optimization and Data Envelopment Analysis
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D: Statistics and Operational Research".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 9
Special Issue Editor
Special Issue Information
Dear Colleagues,
New advances in optimization and data envelopment analysis (DEA) are reshaping the way we evaluate efficiency and support decision-making in complex environments. Recent developments extend traditional DEA models by incorporating robust optimization, stochastic methods, machine learning, and network structures, providing powerful tools for real-world challenges. These innovations enable researchers and practitioners to better address uncertainty, improvement plans, and multi-layered systems in areas such as healthcare, energy, logistics, sustainability, finance, and education.
If you require an extension or have any questions regarding this Special Issue, please do not hesitate to contact me by replying to this email. Thank you for your time, and I look forward to receiving your contributions.
Considering your expertise in the field, I warmly encourage you to submit an article. If you are unable to contribute at this time, please feel free to share this invitation with your colleagues. Alternatively, you may provide us with the contact details of anyone who might be interested, and we will reach out to them directly.
Dr. Nuria Ramón
Guest Editor
Manuscript Submission Information
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Keywords
- data envelopment analysis
- target setting
- benchmarking
- closest targets
- improvement plans
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